#84 · Primary category: Inference & Local Deploy

spiceai

artificial-intelligence data data-federation developers full-text-search infrastructure llm-inference machine-learning sql

Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.

Project last updated:08/30/26

GitHub Stars

3.1K

Forks

224

Contributors

62

License

Apache-2.0

Why we included this project

Building AI features that answer questions from your own data usually means wiring several pieces of infrastructure together yourself. Spice removes that work: it is a single Rust runtime you run as a sidecar next to your app, serving SQL, search, and LLM-inference requests over the operational data you already have. Rather than copying data into a separate store, it federates queries across your live sources, so one portable binary covers both accelerated analytics and local model inference. That suits agents and applications that need low-latency answers against production data, and it keeps a retrieval-style prototype far simpler to stand up.

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